Payments leverages Confluent Cloud to help banks of all sizes transform to real-time banking services from traditionally batch-oriented, bankers’ hours operational mode. This is achieved through Apache Kafka® and the Kafka Streams and Kafka Connect APIs from Clojure using functional programming paradigms like transducers.

Jay Kreps introduces ksqlDB, the event streaming database purpose-built for stream processing applications. As the successor to KSQL, ksqlDB is a specialized database for stream processing on top of Kafka, merging the concepts behind streams of data with tables of data.

Ansible keeps your Apache Kafka® deployment, management, and installation consistent, and helps you implement best practices that make it easy to get started. Justin Manchester (Platform DevOps Engineer, Confluent) and Viktor Gamov (Developer Advocate, Confluent) discuss the problems that Ansible is trying to solve, enabling collaboration and optimizing all components for top performance.

With a virtual private cloud (VPC)—your own private network in the cloud that you can launch your own instances into—you can secure your cloud infrastructure and minimize the threat of potential attackers with VPC Peering, connecting VPCs together to create a path between them to keep your data safe and accessible to you alone.

Stewart Bryson dispels misconceptions around what “streaming ETL” means, and explains why event streaming and event-driven architectures compel us to rethink old approaches.